Journal: Optimization Letters

Volume 17, Issue 2

219 -- 243Bruno F. Lourenço, Gábor Pataki. A simplified treatment of Ramana's exact dual for semidefinite programming
245 -- 264Audrey Dietz, Warren Adams, Boshi Yang. A conditional-logic interpretation for Miller-Tucker-Zemlin inequalities and extensions
265 -- 282David T. Mildebrath. A polynomial-time algorithm for a nonconvex chance-constrained program under the normal approximation
283 -- 297Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi. Practical initialization of the Nelder-Mead method for computationally expensive optimization problems
299 -- 332Rashed Khanjani Shiraz, Ali Babapour Azar, Zohreh Hosseini Nodeh, Panos M. Pardalos. Distributionally robust joint chance-constrained support vector machines
333 -- 350Hiroki Tanabe, Ellen H. Fukuda, Nobuo Yamashita. Convergence rates analysis of a multiobjective proximal gradient method
351 -- 367Saman Babaie-Kafaki, Nasrin Mirhoseini, Zohre Aminifard. A descent extension of a modified Polak-Ribière-Polyak method with application in image restoration problem
369 -- 383Le Dung Muu, Xuan Thanh Le, Nguyen Ngoc Hai. On the proximal mapping for multi-valued monotone variational inequality problems
385 -- 397Christian Bingane. Largest small polygons: a sequential convex optimization approach
399 -- 412Luis M. Briceño-Arias, Fernando Roldán. Resolvent of the parallel composition and the proximity operator of the infimal postcomposition
413 -- 435Hao Wang 0045, Hao Zeng, Jiashan Wang. p regularization problems
437 -- 451Simon Laumer. Efficient compact linear programs for network revenue management
453 -- 469Yi Lei, Hu Shao, Ting Wu 0009, Pengjie Liu. An accelerating algorithm for maximum shortest path interdiction problem by upgrading edges on trees under unit Hamming distance
471 -- 492Johannes Milz. Sample average approximations of strongly convex stochastic programs in Hilbert spaces
493 -- 509Xiangyu Cui, Duan Li 0002, Yun Shi, Mingjia Zhu. Hybrid strategy in multiperiod mean-variance framework
511 -- 513Jonathan Gillard. Review on the book Yaroslav D. Sergeyev, Renato De Leone (Eds.) Numerical infinities and infinitesimals in optimization